The Next Web

LinkedIn is secretly scanning your browser for 6,000 extensions, and you weren’t told

LinkedIn runs a hidden JavaScript script called Spectroscopy that silently probes over 6,000 Chrome extensions and collects ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
Microsoft

Mitigating the Axios npm supply chain compromise

On March 31, 2026, the popular HTTP client Axios experienced a supply chain attack, causing two newly published npm packages ...
Decrypt

Anthropic Accidentally Leaked Claude Code's Source—The Internet Is Keeping It Forever

Anthropic is scrambling to contain the leak, but the AI coding agent is spreading far and wide and being picked apart.

Hackers compromise Axios npm package to drop cross-platform malware

Hackers hijacked the npm account of the Axios package, a JavaScript HTTP client with 100M+ weekly downloads, to deliver ...
theregister

Oracle unveils Project Detroit for faster Java interop with JavaScript and Python

JavaOne Oracle has shipped Java 26, a short-term release, and introduced Project Detroit, which promises faster interop between Java, JavaScript, and Python. Java 26 will be supported for just six ...
IEEE

AIvaluate: A Multi-Agent Framework for Automated Answer Script Evaluation Using Large Language Models and Semantic Vector Indexing

Abstract: In conventional educational environments, it is labor-intensive, subjective, and susceptible to human error to hand-mark descriptive answers. This article ...
Microsoft

Developer-targeting campaign using malicious Next.js repositories

Microsoft Defender Experts identified a coordinated developer-targeting campaign delivered through malicious repositories disguised as legitimate Next.js projects and technical assessment materials.
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...